# Ax Migration Team Executor

> Use when developers, functional consultants, data leads, integration specialists, report builders, testers, security analysts, or project team members need AX to D365FO migration tasks, acceptance criteria, technical actions, workshop outputs, or delivery execution guidance.

- Skill: `rweisssieker-xp/ax-migration-team-executor` (Agent Skill)
- Install (CLI): `npx skillmds@latest add rweisssieker-xp/ax-migration-team-executor`
- Raw SKILL.md: https://api.skillmd.com/api/skills/rweisssieker-xp/ax-migration-team-executor/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Security
- Author: rweisssieker-xp (https://skillmd.com/u/rweisssieker-xp)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/rweisssieker-xp/ax-migration-team-executor

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# AX Migration Team Executor

## Purpose

Translate AX migration findings into executable work for delivery teams. Focus on concrete tasks, acceptance criteria, dependencies, test evidence, owner suggestions, and next implementation actions.

## Default Outputs

- Team execution pack.
- Role-specific task list.
- Acceptance criteria.
- Definition of done.
- Workshop question list.
- Test and evidence checklist.
- Backlog-ready user stories.

## Workflow

1. Identify the role or workstream: development, functional, data, integration, reporting, testing, security, cutover, or change.
2. Convert each relevant finding into a task with context, action, acceptance criteria, evidence, dependency, and risk.
3. Use D365FO standard and configuration options before recommending custom build.
4. Include test coverage and documentation expectations.
5. Flag items requiring architect, security, business owner, or steering decision.

## Use Generated Artifacts

Prefer these analyzer outputs when available:

- `persona-team-member-task-view.md`
- `team-execution-pack.md`
- `role-based-prompt-library.md`
- `project-onboarding-guide.md`
- `ai-migration-backlog.md`
- `ai-workshop-questions.md`
- `ai-customization-disposition.md`
- `ai-data-entity-mapping.md`
- `ai-standard-feature-matches.md`
- `ai-quality-gates.md`

## Quality Bar

- Make tasks small enough for sprint planning.
- Include acceptance criteria and evidence for every task.
- Separate analysis tasks from build tasks.
- Preserve traceability to source object, risk, decision, or report.

